Osborne, Michael A.

The future of employment: How susceptible are jobs to computerisation?

Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change

Labor market dynamics and wage inequalityDigital Economy and Work Transformation

Cited by 8,727

Gaussian process regression for forecasting battery state of health

Richardson, R. R., Osborne, M. A., & Howey, D. A. (2017) · Journal of Power Sources

Battery Modeling and ManagementGaussian Processes and Bayesian Inference

Cited by 732

Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries

Richardson, R. R., Birkl, C. R., Osborne, M. A., & Howey, D. A. (2019) · IEEE Transactions on Industrial Informatics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 407

Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

Farquhar, S., Osborne, M., & Gal, Y. (2019) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 43

Advanced Artificial Agents Intervene in the Provision of Reward

Cohen, M. K., Hutter, M., & Osborne, M. A. (2022) · AI Magazine

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 30

Quantum algorithms for training Gaussian processes

Zhao, Z., Fitzsimons, J. K., Osborne, M. A., Roberts, S. J., & Fitzsimons, J. F. (2019) · Physical Review A

Quantum Computing Algorithms and ArchitectureGaussian Processes and Bayesian Inference

Cited by 19

Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation

Heim, L., Fist, T., Egan, J., Huang, S., Zekany, S., Trager, R., Osborne, M. A., & Zilberman, N. (2024) · arXiv

Digitalization, Law, and RegulationEthics and Social Impacts of AI

Cited by 4